Numerical Methods for Least Squares Problems PDF
427 Pages·1996·41.985 MB·English
Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.
Preview Numerical Methods for Least Squares Problems
Description:
The method of least squares was discovered by Gauss in 1795. It has since become the principal tool for reducing the influence of errors when fitting models to given observations. Today, applications of least squares arise in a great number of scientific areas, such as statistics, geodetics, signal processing, and control. In the last 20 years there has been a great increase in the capacity for automatic data capturing and computing. Least squares problems of large size are now routinely solved. Tremendous progress has been made in numerical methods for least squares problems, in particular for generalized and modified least squares problems and direct and iterative methods for sparse problems. Until now there has not been a monograph that covers the full spectrum of relevant problems and methods in least squares. This volume gives an in-depth treatment of topics such as methods for sparse least squares problems, iterative methods, modified least squares, weighted problems, and constrained and regularized problems. The more than 800 references provide a comprehensive survey of the available literature on the subject.
See more
The list of books you might like
Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.
